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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Online Linear Regression and Its Application to Model-Based Reinforcement Learning
Alexander L Strehl · Michael L Littman
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
A Unified Near-Optimal Estimator For Dimension Reduction in $l_\alpha$ ($0<\alpha\leq 2$) Using Sta
Ping Li · Trevor Hastie
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
The Tradeoffs of Large Scale Learning
Leon Bottou · Olivier Bousquet
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
On Ranking in Survival Analysis: Bounds on the Concordance Index
Vikas C Raykar · Harald Steck · Balaji R Krishnapuram · Cary Dehing-Oberije · Philippe Lambin
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Optimal ROC Curve for a Combination of Classifiers
Marco Barreno · Alvaro A Cárdenas · Doug Tygar
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Compressed Regression
Shuheng Zhou · John Lafferty · Larry Wasserman
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Convex Clustering with Exemplar-Based Models
Danial Lashkari · Polina Golland
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Optimistic Linear Programming gives Logarithmic Regret for Irreducible MDPs
Ambuj Tewari · Peter Bartlett
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Discovering Weakly-Interacting Factors in a Complex Stochastic Process
Charlie Frogner · Avi Pfeffer
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Modeling homophily and stochastic equivalence in symmetric relational data
Peter Hoff
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Learning Bounds for Domain Adaptation
John Blitzer · Yacov Crammer · Alex Kulesza · Fernando Pereira · Jenn Wortman Vaughan
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Learning the structure of manifolds using random projections
Yoav S Freund · Sanjoy Dasgupta · Mayank Kabra · Nakul Verma
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Evaluating Search Engines by Modeling the Relationship Between Relevance and Clicks
Ben Carterette · Rosie Jones
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
HM-BiTAM: Bilingual Topic Exploration, Word Alignment, and Translation
Bing Zhao · Eric Xing
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
A Bayesian LDA-based model for semi-supervised part-of-speech tagging
Kristina N Toutanova · Mark Johnson
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Random Sampling of States in Dynamic Programming
Chris Atkeson · Benjamin Stephens
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Topmoumoute Online Natural Gradient Algorithm
Nicolas Le Roux · Pierre-Antoine Manzagol · Yoshua Bengio
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Automatic Generation of Social Tags for Music Recommendation
Douglas Eck · Paul Lamere · Thierry Bertin-Mahieux · Stephen J Green
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
A Unified Model for Content Based Image Suggestion and Feature Selection
Sabri Boutemedjet · Djemel Ziou · Nizar Bouguila
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Using Deep Belief Nets to Learn Covariance Kernels for Gaussian Processes
Russ Salakhutdinov · Geoffrey E Hinton
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Receding Horizon Differential Dynamic Programming
Yuval Tassa · Tom Erez · Bill Smart
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
CPR for CSPs: A Probabilistic Relaxation of Constraint Propagation
Luis E Ortiz
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Active Preference Learning with Discrete Choice Data
Eric Brochu · Nando de Freitas · Abhijeet Ghosh
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Learning with Transformation Invariant Kernels
Christian Walder · Olivier Chapelle
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Efficient multiple hyperparameter learning for log-linear models
Chuong B Do · Chuan-Sheng Foo · Andrew Y Ng
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Loop Series and Bethe Variational Bounds in Attractive Graphical Models
Erik Sudderth · Martin J Wainwright · Alan S Willsky
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Fixing Max-Product: Convergent Message Passing Algorithms for MAP LP-Relaxations
Amir Globerson · Tommi Jaakkola
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
A learning framework for nearest neighbor search
Lawrence Cayton · Sanjoy Dasgupta
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Efficient Principled Learning of Thin Junction Trees
Anton Chechetka · Carlos Guestrin
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Spatial Latent Dirichlet Allocation
Xiaogang Wang · Eric Grimson
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Resampling Methods for Protein Structure Prediction with Rosetta
Ben Blum · David Baker · Michael Jordan · Philip Bradley · Rhiju Das · David Kim
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Rapid Inference on a novel AND/OR graph: Detection, Segmentation and Parsing of Articulated Deformable Objects in Cluttered Backgrounds
Yuanhao Chen · Long Zhu · Chenxi Lin · Alan L Yuille · Hongjiang Zhang
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
The Value of Labeled and Unlabeled Examples when the Model is Imperfect
Kaushik Sinha · Mikhail Belkin
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Multiple-Instance Pruning For Learning Efficient Cascade Detectors
Cha Zhang · Paul Viola
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Structured Learning with Approximate Inference
Alex Kulesza · Fernando Pereira
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Sparse Feature Learning for Deep Belief Networks
Marc'Aurelio Ranzato · Y-Lan Boureau · Yann LeCun
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Computing Robust Counter-Strategies
Michael Johanson · Martin A Zinkevich · Michael Bowling
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Computational Equivalence of Fixed Points and No Regret Algorithms, and Convergence to Equilibria
Elad Hazan · Satyen Kale
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Estimating divergence functionals and the likelihood ratio by penalized convex risk minimization
Long Nguyen · Martin J Wainwright · Michael Jordan
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Supervised Topic Models
David Blei · Jon McAuliffe
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Boosting the Area under the ROC Curve
Phil Long · Rocco A Servedio
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Scan Strategies for Meteorological Radars
Victoria Manfredi · Jim Kurose
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Catching Change-points with Lasso
Zaid Harchaoui · Céline Lévy-Leduc
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Discriminative Log-Linear Grammars with Latent Variables
Slav Petrov · Dan Klein
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Discriminative Batch Mode Active Learning
Yuhong Guo · Dale Schuurmans
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Mining Internet-Scale Software Repositories
Erik Linstead · Paul Rigor, Ph.D. · sushil bajracharya · cristina lopes · Pierre Baldi
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Adaptive Embedded Subgraph Algorithms using Walk-Sum Analysis
Venkat Chandrasekaran · Jason K Johnson · Alan S Willsky
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Modeling image patches with a directed hierarchy of Markov random fields
Simon Osindero · Geoffrey E Hinton
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Bayesian Policy Learning with Trans-Dimensional MCMC
Matthew Hoffman · Arnaud Doucet · Nando de Freitas · Ajay Jasra
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Learning Monotonic Transformations for Classification
Andrew G Howard · Tony Jebara
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Regret Minimization in Games with Incomplete Information
Martin A Zinkevich · Michael Johanson · Michael Bowling · Carmelo Piccione
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Fast Variational Inference for Large-scale Internet Diagnosis
John C Platt · Emre Kiciman · David A Maltz
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Statistical Analysis of Semi-Supervised Regression
John Lafferty · Larry Wasserman
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
People Tracking with the Laplacian Eigenmaps Latent Variable Model
Zhengdong Lu · Miguel A. Carreira-Perpinan · Cristian Sminchisescu
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Configuration Estimates Improve Pedestrian Finding
Duan D Tran · David A Forsyth
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
A New View of Automatic Relevance Determination
David P Wipf · Srikantan Nagarajan
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Linear programming analysis of loopy belief propagation for weighted matching
Sujay Sanghavi · Dmitry Malioutov · Alan S Willsky
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Competition Adds Complexity
Judy Goldsmith · Martin Mundhenk
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
A Probabilistic Approach to Language Change
Alexandre Bouchard-Côté · Percy Liang · Tom Griffiths · Dan Klein
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Convex Relaxations of EM
Yuhong Guo · Dale Schuurmans
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Local Algorithms for Approximate Inference in Minor-Excluded Graphs
Kyomin Jung · Devavrat Shah
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
The Epoch-Greedy Algorithm for Multi-armed Bandits with Side Information
John Langford · Tong Zhang
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Discriminative Keyword Selection Using Support Vector Machines
Fred Richardson · William Campbell
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Random Projections for Manifold Learning
Chinmay Hegde · Richard Baraniuk
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Multi-Stage Monte Carlo Approximation for Fast Generalized Data Summations
Michael Holmes · Alexander Gray · Charles Isbell
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Multiple Instance Active Learning
Burr Settles · Mark Craven · Soumya Ray
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Theoretical Analysis of Heuristic Search Methods for Online POMDPs
Stephane Ross · Joelle Pineau · Brahim Chaib-draa
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Stability Bounds for Non-i.i.d. Processes
Mehryar Mohri · Afshin Rostamizadeh
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Poster
Mon Dec 03 10:30 AM -- 10:40 AM (PST)
Support Vector Machine Classification with Indefinite Kernels
Ronny Luss · Alexandre d'Aspremont
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Poster
Wed Dec 05 10:30 AM -- 10:40 AM (PST)
Convex Learning with Invariances
Choon Hui Teo · Amir Globerson · Sam T Roweis · Alex Smola
[ PDF